Diesel Case Study Overview :: Diesel Engine Calibration Case Study (Model-Based Calibration Toolbox™)

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Contents

Index

• Getting Started

• Introduction

• Gasoline Engine Calibration Case Study

• Diesel Engine Calibration Case Study

• Diesel Case Study Overview

Problem Definition

• Design of Experiment

Introducing Design of Experiment

Constraining the Design

Creating Candidate Designs

Data Collection

Overview of Modeling Process

Building Models

Building and Evaluating Alternative Models

Creating Boundary Models

• Optimized Calibration

Problem Definition

Benefits of Automated Calibration

Importing Models of Engine Responses into CAGE

Defining Additional Variables and Models

Setting Up Calibration Tables to Fill

Setting Up the Point Optimization

Setting Up Constraints

Defining Variable Values

Running the Optimization

• Setting Up the Sum Optimization

Setting Up Initial Values and Sum Objective

Creating the Brake Specific NOx Constraint

Setting Weights for the Sum Objective and Constraint

Set Parameters and Run Optimization

Filling Tables with Optimization Results

• Point-by-Point Diesel Engine Calibration Case Study

• Example Composite Models and Modal Optimizations

Gasoline Example with Four Cylinder and Eight Cylinder Modes

Diesel Example with Low and High EGR Modes

Composite Model Example with Separate Tables for Each Mode

• Design and Modeling Scripts

Processes You Can Automate

Scripting Demos

Projects and Test Plans for Model Scripting

Response Model Scripting

Boundary Model Scripting

• Tutorial: Model Quickstart

Creating the Test Plan

Setting Up the Local Model

Setting Up the Global Model

Specifying the Response Model

Verifying the Local Model

Verifying the Global Model

Selecting the Two-Stage Model

Comparing the Local Model and the Two-Stage Model

Maximum Likelihood Estimation

Methods For Creating More Models

Creating New Local Models

Adding New Response Features

Comparing Models

Creating New Global Models

Creating Multiple Models Using Build Models

• Tutorial: Design of Experiment

Why Use Design of Experiment?

Structure of This Design Editor Tutorial

Setting Up a Model

Starting the Design Editor

Creating a New Design

Introducing Optimal Designs

Start Point Tab

Candidate Set Tab

Introducing the Prediction Error Variance Viewer

Improving the Design

Adding a Classical Design

Classical Design Browser

Setting Up and Viewing a Classical Design

• Tutorial: Data Editor

Entering the Data Editor

Loading a Data File

Using Notes to Sort Data for Plotting

Removing Outliers and Problem Tests

Reordering and Editing Data

Adding New Variables

Applying a Filter

Sequence of Variables

Deleting and Editing Variables and Filters

Introducing Matching Data to Designs

Tolerances and Cluster Information

Understanding Clusters

• Tutorial: Feature Calibration

Setting Up Variables

Setting Up Models

Setting Up a New Feature

Setting Up the Strategy

Setting Up the Tables

Process For Feature Calibration

Calibrating the Normalizers

Calibrating the Tables

Calibrating the Feature

• Tutorial: Tradeoff Calibration

Creating a Tradeoff

Adding Tables to a Tradeoff Calibration

Displaying the Models

Process Overview

Checking the Normalizers

Setting Values for Other Variables

Filling Key Operating Points

Filling the Table by Extrapolation

Exporting Calibrations

• Tutorial: Data Sets

Tutorial Overview

Opening an Existing Calibration

Importing Experimental Data into a Data Set

Adding an Item to a Data Set

Viewing the Data Set as a Table

Viewing the Data Set as a Plot

Displaying the Error

Coloring the Display

• Tutorial: Filling Tables from Data

Tutorial Overview

Adding Variables

Adding a New Table

Importing Experimental Data

• Tutorial: Optimization and Automated Tradeoff

Tutorial Problem Definitions

The Optimization View

Import Models to Optimize

Process Overview

Using the Create Optimization from Model Wizard

Setting Constraints and Operating Points

Running the Optimization

Using Optimization Results to Fill Tables

Using a Custom Fill Routine to Fill Tables

Setting Up and Running the Multiobjective Optimization

Optimization Output View

Selecting Best Solutions

What Is a Sum Optimization?

Example Overview

Using the Worked Example Optimization

Process Overview

Step 1: Verify the Algorithm

Step 2: Create a CAGE Optimization Function

Step 3: Define the Optimization Options

Step 4: Add the Algorithm to the Optimization Function

Step 5: Register Your Optimization Function with CAGE

Step 6: Verify Your New Optimization

• User's Guide

• Release Notes

Diesel Case Study Overview

On this page…

Problem Definition

Introduction

This case study is an example of a diesel engine control calibration, for a six-cylinder 9.0 L common-rail diesel engine with VGT (variable geometry turbo) and cooled EGR (exhaust gas recirculation). It is applied in an off-road application with a very narrow engine speed range from 1600 to 2200 RPM. The aim of the case study is to produce optimal SOI (start of injection), base fuel, VGT, and EGR calibration schedules as a function of commanded torque and RPM. It involves models for torque, peak pressure, equivalence ratio, exhaust temperature, VGT speed, and EGR mass fraction. The optimization setup in CAGE is based on an 8-mode off-road emission test, approximated to 7 mode points by neglecting the idle operating point of the engine.

The Model Browser part of the example takes you through the following steps:

Create a design for your experiment Design of Experiment
Create models from the collected data Modeling

The Model Browser section of the case study covers design of experiment, data handling, and model construction and export. In the later CAGE browser section of the case study you use the models to complete the optimization of the calibration tables, see Optimized Calibration.

Problem Definition

Produce optimal calibration tables in speed and torque for

Best injection timing	`soi`
Best fuel quantity	`basefuelmass`
Best fuel pressure	`fuelpress`
Best VGT	`grackmea`
Best EGR	`egrpos, egrmf`

Minimize mode-weighted brake specific fuel consumption, subject to constraints on

Turbo speed (vtgrpm)
Cylinder pressure (pkpress)
Exhaust equivalence ratio (exheqr)

To solve this problem, you must first use the Model Browser part of the Model-Based Calibration Toolbox product to design an experiment for collecting data, and then create models based on that data. You will use the resulting models in the CAGE Browser part of the toolbox to produce optimal calibration tables.

Diesel Engine Calibration Case Study

Diesel Engine Calibration Case Study

Design of Experiment

Design of Experiment

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